What is the Chaos Engineering Toolkit skill for Claude Code?

It is a specialized capability that enables Claude to design, configure, and analyze experiments that simulate real-world system failures to test robustness.

Which chaos engineering tools does this skill support?

The skill provides guidance and integration patterns for industry-standard tools including Chaos Mesh, Gremlin, Toxiproxy, and AWS Fault Injection Simulator (FIS).

What types of failures can I simulate with this skill?

You can simulate a wide range of issues including network latency, CPU/memory spikes, disk pressure, container crashes, and API communication failures.

Can Claude execute these experiments automatically?

Claude can use Bash and Edit tools to configure and trigger experiments, but it is best used as a co-pilot to help you orchestrate 'GameDays' and monitor results.

Is it safe to use this skill on production systems?

The skill follows chaos engineering best practices, such as 'starting small' and defining steady states, but experiments should always be authorized and monitored by your operations team.

Chaos Engineering Toolkit

Name: Chaos Engineering Toolkit
Author: jeremylongshore

byjeremylongshore

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884

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部署与 DevOps

Designs and executes controlled failure experiments to identify system weaknesses and validate architectural resilience.

The Chaos Engineering Toolkit transforms Claude into a specialized resilience engineer, guiding teams through the process of designing and implementing controlled failure scenarios. It assists with the entire chaos experiment lifecycle—from defining hypotheses and selecting tools like Chaos Mesh or AWS FIS to simulating network latency, resource exhaustion, and service outages. By proactively testing circuit breakers, retry logic, and failover mechanisms, this skill helps developers identify vulnerabilities and improve system robustness before actual production incidents occur.

主要功能

01Controlled failure injection including pod kills and resource pressure

02Network latency and packet loss simulation via Toxiproxy

03Cloud-native resilience testing integration with AWS FIS and Chaos Mesh

04Validation of recovery mechanisms like circuit breakers and retry logic

05884 GitHub stars

06Post-experiment analysis and automated remediation recommendations

使用场景

01Testing automated database failover processes during simulated outages

02Validating infrastructure auto-scaling behavior under extreme resource exhaustion

03Simulating network congestion to assess API gateway performance and timeouts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills chaos-engineering-toolkit

For use in Claude.ai and ChatGPT

Download Skill

主要功能

01Controlled failure injection including pod kills and resource pressure

02Network latency and packet loss simulation via Toxiproxy

03Cloud-native resilience testing integration with AWS FIS and Chaos Mesh

04Validation of recovery mechanisms like circuit breakers and retry logic

05884 GitHub stars

06Post-experiment analysis and automated remediation recommendations

使用场景

01Testing automated database failover processes during simulated outages

02Validating infrastructure auto-scaling behavior under extreme resource exhaustion

03Simulating network congestion to assess API gateway performance and timeouts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills chaos-engineering-toolkit

For use in Claude.ai and ChatGPT

Download Skill